Improving Cost Efficiency of DP Operations by Enhanced Thruster Allocation Strategy
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1 Return to Session Menu DYNAMIC POSITIONING CONFERENCE October 14-15, 2014 GREEN INITIATIVES Improving Cost Efficiency of DP Operations by Enhanced Thruster Allocation Strategy Sofien Kerkeni SIREHNA
2 IMPROVED COST EFFICIENCY OF DP OPERATIONS BY ENHANCED THRUST ALLOCATION STRATEGY Sofien Kerkeni 1, Ramnagendran Ramiah², Xavier Dalsanto 1 and Loic Vilain 1 Tous Droits Réservés. Ce document dans son contenu et dans sa forme est la propriété de SIREHNA
3 Contents Introduction Mathematical models Enhanced strategy gy and simulations Operational analysis
4 Introduction DP Vessel 3/28 Kerkeni et al. MTS DYNAMIC POSITIONING CONFERENCE 2014
5 Introduction Estimator Controller Thrust allocation Positions Wind Heading Thrusters Feedback Positions Thrusters command 4/28 Kerkeni et al. MTS DYNAMIC POSITIONING CONFERENCE 2014
6 Introduction Estimator Objectives Ship state estimation, noise elimination current estimation Standard solution Kalman Filtering (online, real time recursive filter) Linear (KF) or non linear (EKF, UKF) Estimator Wind Heading Thrusters feedback Positions Positions Controller Thrust allocation Thrusters command Controller Objectives Control of the ship position to a desired set point (position, heading) Solution Most famous PID 5/28 Kerkeni et al. MTS DYNAMIC POSITIONING CONFERENCE 2014
7 Introduction Thrust allocation Objectives Estimator Wind Positions Controller Thrust allocation Transformation of commanded efforts into thrusters variables Heading Thrusters feedback Positions Thrusters command Under constraints Minimization of ship fuel consumption Mathematical problem known as «Optimization under constraints» => Paper focus on this module Development of a new solver Implementation in the EasyDP system 6/28 Kerkeni et al. MTS DYNAMIC POSITIONING CONFERENCE 2014
8 Contents Introduction Mathematical models Enhanced strategy gy and simulations Operational analysis
9 Mathematical models Vessel dynamics modelling Newton 2 nd law Hydrodynamic forces Added masses included in the generalized mass matrix Damping and drag forces 8/28 Kerkeni et al. MTS DYNAMIC POSITIONING CONFERENCE 2014
10 Mathematical models Aerodynamic forces Standard d formulation (Rayleigh form) 9/28 Kerkeni et al. MTS DYNAMIC POSITIONING CONFERENCE 2014
11 Mathematical models Environments Current Slow varying time Wind Harris spectrum representation 10/28 Kerkeni et al. MTS DYNAMIC POSITIONING CONFERENCE 2014
12 Mathematical models Thruster forces Standard d Thrust/Rpm relationship given by Modelling of azimuth thrusters Hull/thruster interaction? Thruster/Thruster interaction? Current thruster interaction? => Not well detailed in the literature 11/28 Kerkeni et al. MTS DYNAMIC POSITIONING CONFERENCE 2014
13 Mathematical models Thruster forces Comparison thrust t efficiency i in 2kn current Ottens, H. and van Dijk, R. Benchmark Study on Thruster-Hull Interaction In Current on a Semi-Submesible Crane Vessel,, OMAE , Proceedings of the ASME st International Conference on Ocean, Offshore and Arctic Engineering (OMAE2013), ASME, Rio de Janeiro, Brasil 12/28 Kerkeni et al. MTS DYNAMIC POSITIONING CONFERENCE 2014
14 Mathematical models Thruster forces Proposed modelling Very conservative Water flow -4% -6% +7% 13/28 Kerkeni et al. MTS DYNAMIC POSITIONING CONFERENCE 2014
15 Contents Introduction Mathematical models Enhanced strategy gy and simulations Operational analysis
16 Enhanced strategy and simulations 15/28 Kerkeni et al. MTS DYNAMIC POSITIONING CONFERENCE 2014
17 Enhanced strategy and simulations Base case : Bourbon Supporter MPSV, DP2 Length between perpendiculars Breadth, moulded Maximal draft Deadweight at max draft Gross tonnage m m 5.50 m t 3052 UMS Thruster arrangement 16/28 Kerkeni et al. MTS DYNAMIC POSITIONING CONFERENCE 2014
18 Enhanced strategy and simulations Standard strategy «Bias» allocation «Facing» stern azimuth thrusters 17/28 Kerkeni et al. MTS DYNAMIC POSITIONING CONFERENCE 2014
19 Enhanced strategy and simulations Enhanced strategy Modification of the mathematical problem Take in account the proposed modelling Limitation of temporal variation 18/28 Kerkeni et al. MTS DYNAMIC POSITIONING CONFERENCE 2014
20 Enhanced strategy and simulations Benchmark of performance Set of simulation Current (0,3kt, 1kt, 2kt) Wind (3kt, 8kt, 15kt) 19/28 Kerkeni et al. MTS DYNAMIC POSITIONING CONFERENCE 2014
21 Enhanced strategy and simulations Example (1kt current, 8 kt wind) -19% No Difference! 20/28 Kerkeni et al. MTS DYNAMIC POSITIONING CONFERENCE 2014
22 Enhanced strategy and simulations Results summary Current 0.2kt Current 1kt Current 2kt Bias New Design New design compared to Bias (ratio) Wind (kt) Power (kw) Power (kw) % % % % % % % % % % 21/28 Kerkeni et al. MTS DYNAMIC POSITIONING CONFERENCE 2014
23 Contents Introduction Mathematical models Enhanced strategy gy and simulations Operational analysis
24 Operational analysis Environment Policy of Bourbon «Put environment as a top priority and take it into consideration in our business decisions» Objective to optimize fuel consumption 78% of the fleet with Diesel/electric propulsion Particular attention to ship design (hull, bulbous bows, etc.) Particular attention to Azimuthal propellers 23/28 Kerkeni et al. MTS DYNAMIC POSITIONING CONFERENCE 2014
25 Operational analysis Analysis of Bourbon fleet in Asia Bourbon Supporter with EasyDP system Fuel Consumption : 3-4 m 3 per day Similar Bourbon MPSV in the area Fuel Consumption : 7-8 m 3 per day => ~50% of overall reduction!!! 24/28 Kerkeni et al. MTS DYNAMIC POSITIONING CONFERENCE 2014
26 Operational analysis Parameters influencing fuel consumption Ship design (propulsion, hull, ) Ship operations Power equipment (engines, generators, ) Electrical equipment (PMS, DP system) Much similar for Compared ships (Bourbon environmental policy) Ship maintenance (clean hull, clean propellers, p electrical devices, ) Major difference between Bourbon vessels? The DP system! 25/28 Kerkeni et al. MTS DYNAMIC POSITIONING CONFERENCE 2014
27 Operational analysis This new features allows then to reduce significantly the ship consumption Integration on the EasyDP Hmi Product line feature Available for (minimum) 2 azimuthal stern propellers 26/28 Kerkeni et al. MTS DYNAMIC POSITIONING CONFERENCE 2014
28 Conclusions Development of a new thrust allocation strategy for azimuthal propulsion Significant reductions of the fuel consumption in simulations Sea proven (about 50% of reduction on the Bourbon Supporter) Integrated as a product line feature of the EasyDP system by Sirehna 27/28 Kerkeni et al. MTS DYNAMIC POSITIONING CONFERENCE 2014
29 Tank you for your attention 28/28 Kerkeni et al. MTS DYNAMIC POSITIONING CONFERENCE 2014
30 Tous Droits Réservés. Ce document dans son contenu et dans sa forme est la propriété de SIREHNA
Improved Cost Efficiency of DP Operations by Enhanced Thrust Allocation Strategy
Author s Name Name of the Paper DYNAMIC POSITIONING CONFERENCE October 14-15, 2014 GREEN INITIATIVES SESSION Improved Cost Efficiency of DP Operations by Enhanced Thrust Allocation Strategy By Sofien Kerkeni
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